Bailer and Winter proposed improvements to DCGAN [1]} by applying portrait segmentation on the training data and adding face detection loss [2]}. Segmenting images to replace the background and adding facial structure awareness on top of the discriminator's unsupervised decision increased the face detection rate of the result.
